Surge AI supplies the human judgment that goes into modern language models. Labs need people to compare answers, write ideal responses, and grade quality, and these ratings train models through techniques like RLHF. Surge recruits and manages annotators with specialized skills, such as coding, writing, and expertise in science, law, or medicine.
Its pitch is quality over crowd volume. Careful screening, training, and quality checks aim to produce data that is more accurate than what general crowd platforms deliver. Services include building evaluation sets, adversarial testing to find model weaknesses, and custom datasets for specific tasks. The company works with large AI developers and publishes research on data quality.
Surge sells to AI labs and enterprises on custom contracts, so it is not a self-serve tool for individuals. Human data work raises questions about annotator pay and conditions, which vary across the industry. Alternatives include Scale AI, Mercor, Snorkel AI, Turing, and Labelbox. Surge AI suits teams training or evaluating frontier models.